ON-LINE GAUSSIAN PROCESS MODEL FOR THE PREDICTION OF THE OZONE CONCENTRATION IN THE AIR

被引：0

作者：

Petelin, Dejan ^{[1
]}

Kocijan, Jus ^{[1
,2
]}

Grancharova, Alexandra ^{[3
]}

机构：

[1] Jozef Stefan Inst, SI-1000 Ljubljana, Slovenia

[2] Univ Nova Gorica, SI-5000 Nova Gorica, Slovenia

[3] Bulgarian Acad Sci, Inst Syst Engn & Robot, BU-1113 Sofia, Bulgaria

来源：

COMPTES RENDUS DE L ACADEMIE BULGARE DES SCIENCES | 2011年 / 64卷 / 01期

关键词：

ozone concentration prediction; dynamic systems modelling; on-line gaussian process model;

D O I：

暂无

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Ozone is one of the main air pollutants with harmful influence on human health. Therefore, predicting the ozone concentration and informing the population when the air-quality standards are not being met is an important task. In this paper a method for prediction of the ozone concentration based on an on-line updated dynamic model obtained from measurement data is proposed and evaluated as a first- and third-order model. For this purpose hourly measurements of the concentrations of ozone and nitrogen dioxide in the air of the town of Burgas, Bulgaria are used.

引用

页码：117 / 124

页数：8

共 13 条

[1]

[Anonymous], 1998, Online Learning in Neural Networks

[2]

[Anonymous], P INT C AUT INF

[3] Application of Gaussian processes for black-box modelling of biosystems [J].